Topic : The decision maker, the big data, and the neuro-economicsContribution of neuroscience to our understanding of decision-making mechanisms

Michel Raimondo

Michel Raimondo,  Associate Director – Manager of MATRICIEL – Operational Consultant, Consultant for more than 30 years, Michel Raimondo has worked in Europe, in Canada, in Africa on missions of master plan, project management AMOA, organization and engineering of the business processes, architecture of the applications and data, IS governance. As a transition manager, he also held the position of Director of the Information System (CIO) for nearly 15 years. He is an Industrial Engineer graduated from the Central School of Arts and Crafts, Electricity /Electronics, in Brussels (High School Leonardo da Vinci). He taught as a temporary teacher for more than 10 years. He currently teaches at Mohamed V University and the International University in Rabat. He leads conferences, training seminars and workshops.He is certified ISACA – IT Governance, ITIL v3, CBAP (IIBA – Business Analysis). Numerous sectors of activity: telecommunications, petroleum, chemical and pharmaceutical industries, food, mechanical and electrical manufacturing, cement works, engineering (construction, industrial risks), public transport (train, bus), banks and insurance.

Topic : Reducing poverty with management tools of non-repayment risk in microcredit using modeling-simulation and its roles in sustainable development

Mohammed Kaicer is a research professor in mathematics at Ibn Tofail University. He has a PhD in Applied Mathematics, option econometrics and statistics, from Mohammadia School of Engineers Mohammed 5 university-Rabat, his thesis was financed by the European Union and INRIA Nice-Sophia Antipolis. He collaborated with the ARDI Foundation for microcredit subsidiary company of Crédit Agricole du Maroc. This collaboration conducted a quantitative study the risk of non-repayment in the microcredit sector in Morocco. Mostly, all of his research work it is about solving some problems in economics, microfinance and sustainable development by modeling and simulation such as optimization, statistics and machine learning.

Topic : Artificial Neural Networks and Parallel Computing Paradigm: Towards a New Parallel and Distributed Learning Algorithm.

Mohammed Mestari is a professor at ENSET of Mohammedia of Morocco and head of research team “Artificial intelligent”  belonging to the  Laboratory (Signals, Distributed Systems and Artificial Intelligent) . His research interest is on artificial intelligent, especially on artificial neural networks, also on techniques of hardware implementation based on decomposition-coordination principle, optimal control and trajectory planning for Unmanned Aerial Vehicles (UAVs). He has more than 85 scientific contributions related to both theoretical and applications in artificial intelligent and robotic areas.